RECOGNITION OF OBJECTS WITH CONVOLUTIONAL NEURAL NETWORK OBJECTIVE :The aim of this project is to build a deep learning model so as to recognize the object by using CIFAR-10 data set( Canadian Institute For Advanced Research) CONCEPTS USED :•TENSORFLOW •KERAS •MATPLOTLIB •SUPERVISED LEARNING •COMPUTER VISION •DEEP LEARNING •CONVOLUTIONAL NEURAL NETWORK
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RECOGNITION OF OBJECTS WITH CONVOLUTIONAL NEURAL NETWORK OBJECTIVE :The aim of this project is to build a deep learning model so as to recognize the object by using CIFAR-10 data set( Canadian Institute For Advanced Research) CONCEPTS USED :•TENSORFLOW •KERAS •MATPLOTLIB •SUPERVISED LEARNING •COMPUTER VISION •DEEP LEARNING •CONVOLUTIONAL NEURAL …
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RECOGNITION OF OBJECTS WITH CONVOLUTIONAL NEURAL NETWORK OBJECTIVE :The aim of this project is to build a deep learning model so as to recognize the object by using CIFAR-10 data set( Canadian Institute For Advanced Research) CONCEPTS USED :•TENSORFLOW •KERAS •MATPLOTLIB •SUPERVISED LEARNING •COMPUTER VISION •DEEP LEARNING •CONVOLUTIONAL NEURAL …
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